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- W132439450 abstract "Power system stabilizers (PSSs) are utilized in order to make power systems stable after a large or small disturbance. Therefore PSSs must be capable of providing appropriate stabilization signal over a broad range of operational conditions and disturbances. Due to the fact that PSSs are widely used in power industry, any appropriate improvements in controlling methods of PSSs are important as well. Recently, Fuzzy logic is used as a robust control design method and FPSS is proved to have a good answer for generating appropriate control signal. However fuzzy logic controllers (FLCs) are based on empirical contract rules, however there is no systematic method known for designing of a FLC. A self learning adaptive network based fuzzy inference system (ANFIS) type power system stabilizer (ANFPSS) is presented in this paper.In this approach, the fuzzy rules and membership functions of the fuzzy PSS is tuned automatically by the learning algorithm. The proposed technique is illustrated on a 9-bus, 3-machine power system. Results show that ANFPSS has a satisfactory performance under various and different conditions of power systems and related faults." @default.
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- W132439450 date "2005-10-27" @default.
- W132439450 modified "2023-10-15" @default.
- W132439450 title "Performance evaluation of an ANFIS based power system stabilizer applied in multi-machine power systems" @default.
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